Kerr介质中"耦合双原子-单模光场"模型的反聚束效应

利用全量子理论,研究了在Kerr介质中,耦合二能级双原子与单模光场相互作用过程的反聚束效应,着重讨论了Kerr介质对场的二阶相干度的影响,并揭示了初始场强及原子间耦合系数的变化与场的二阶相干度的关系。     

14例皮角临床分析和CO2激光治疗报告

皮角（Cutaneous Horn）是一种由于棘细胞异常增殖，角朊细胞过度角化所致锥形增生性损害，圆形状似角而得名，为一种临床上少见柏皮肤肿瘤，属癌前病变，国内仅见个案报道。现将我院近几年来用CO2激光治疗14例皮角临床分析报告如下：     

V型天线的行波加载公式

本文研究了ｖ型天线上电流分布与阻抗加载的关系，导出了支持天线上行波电流的阻抗加载公式。讨论了天线张角、振子半径以及振子长度与加载量的关系和规律，说明了加载Ｖ型天线的宽带特性。文中还计算了在高斯脉冲激励下，不同加载量的天线上瞬态电流的分布，由此可以表明所导加载公式的正确性与重要性。     

多级防火墙技术研究与应用探讨

在计算机信息技术和互联网飞速发展的今天,互联网在人类的生活、工作、学习中占据着重要地位。然而计算机网络安全是其与之俱来不可避免的问题。本文将基于多级防火墙技术,分析当前计算机网络中存在的安全隐患,针对这些实际问题探讨如何有效应用多级防火墙技术,实现对计算机网络安全的维护。     

一种基于区域分割的多尺度遥感图像融合方法

光谱保持和高分辨率保留是图像融合的重要问题,提出了一种区域分割和小波变换相结合的多尺度遥感图像融合方法。首先对经过配准的待融合图像进行小波变换,然后对变换后的低频系数进行基于区域标准差的分割,将低频系数分为目标信息和背景信息,接着对目标信息采取基于绝对值的融合,对背景信息采用基于灰度误差的融合。对小波变换后的高频系数采用基于清晰度的融合规则,最后进行小波逆变换得到融合图像。将该方法和几种常用融合方法进行对比分析,结果表明:该方法在有效地保持多光谱影像光谱信息的同时,可以有效地提高融合影像的空间细节信息,有利于后续进行信息提取和图像分类。     

基于骑手优化的动态布谷鸟搜索算法

针对传统布谷鸟搜索算法（cuckoo search,CS）对复杂问题收敛精度低、迭代步幅局限性大的特点,提出了基于骑手优化的动态布谷鸟搜索策略（rider optimization cuckoo search,ROCS）。结合骑手优化算法（rider optimization algorithm,ROA）思想,利用多种群在单周期内进行多策略寻优,动态使用最优策略进行加强搜索,提高算法对复杂问题的收敛效率;同时对Lévy飞行运动进行动态参数调节,改善算法搜索前期及末期表现。仿真测试结果显示,改进算法对复杂问题的优化表现优于比对算法,算法寻优效率得到显著改善。     

基于GSM的故障实时报警控制系统的设计与实现

针对实时监控系统中的运行设备或装置的异常报警信息,设计了基于GSM无线通讯的微机监测系统,实现了多故障远程短信息报警功能,介绍了系统的软硬件设计及主要功能;经应用测试,系统具有宴时性强、稳定性高、投入成本低等特点,能将信息同时发送至多个移动通信终端,已成功应用于农业温室大棚监控系统的实时故障报警,系统也可方便地应用于工厂生产线、金融、交通及家庭安全等方面的远程监测.     

Optimal Path Problems with Second-Order Stochastic Dominance Constraints

This paper studies optimal path problems integrated with the concept of second order stochastic dominance. These problems arise from applications where travelers are concerned with the trade off between the risks associated with random travel time and other travel costs. Risk-averse behavior is embedded by requiring the random travel times on the optimal paths to stochastically dominate that on a benchmark path in the second order. A general linear operating cost is introduced to combine link- and path-based costs. The latter, which is the focus of the paper, is employed to address schedule costs pertinent to late and early arrival. An equivalent integer program to the problem is constructed by transforming the stochastic dominance constraint into a finite number of linear constraints. The problem is solved using both off-the-shelf solvers and specialized algorithms based on dynamic programming (DP). Although neither approach ensures satisfactory performance for general large-scale problems, the numerical experiments indicate that the DP-based approach provides a computationally feasible option to solve medium-size instances (networks with several thousand links) when correlations among random link travel times can be ignored.     

Analysis of gene expression programming for approximation in engineering design

To reduce the computational cost of implementing computer-based simulations and analyses in engineering design, a variety of metamodeling techniques have been developed and used for the construction of metamodels. Metamodels, also called approximation models and surrogate models, can be used to make a replacement of the expensive simulation codes for design and optimization. In this paper, gene expression programming (GEP) algorithm in the evolutionary computing area is investigated as an alternative metamodeling technique to provide the approximation of a design space. The approximation performance of GEP is tested on some low-dimensional mathematical and engineering problems. A comparative study is conducted on GEP and three common metamodeling techniques in engineering design (i.e., response surface methodology (RSM), kriging and radial basis functions (RBF)) for the approximation of the low-dimensional design space. Multiple evaluation criteria are considered in the comparison: accuracy, robustness, transparency and efficiency. Two different sample sizes are adopted: small and large. Comparative results indicate that GEP can achieve the most accurate and robust approximation of a low-dimensional design space for small sample sets. For large sample sets, GEP also presents good prediction accuracy and high robustness. Moreover, the transparency of GEP is the best since it can provide clear function relationships and factor contributions by means of compact expressions. As a novel metamodeling technique, GEP shows great promise for metamodeling applications in a low-dimensional design space, especially when only a few sample points are selected and used for training.     

SERT结晶器液位控制系统

介绍一种梅山冶金公司板坯连同上应用的新型的结晶器液位控制系统，它由浮式式液位检测装置，ＲＳＥ１０００控制器和电动塞棒执行机构所组成，由法国ＳＥＲＴ公司成套制造。